IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38140-1.html
   My bibliography  Save this article

Prioritization of potential causative genes for schizophrenia in placenta

Author

Listed:
  • Gianluca Ursini

    (Johns Hopkins University Medical Campus
    Johns Hopkins University School of Medicine)

  • Pasquale Di Carlo

    (Johns Hopkins University Medical Campus
    Neuroscience and Sense Organs, University of Bari Aldo Moro)

  • Sreya Mukherjee

    (Johns Hopkins University Medical Campus)

  • Qiang Chen

    (Johns Hopkins University Medical Campus)

  • Shizhong Han

    (Johns Hopkins University Medical Campus)

  • Jiyoung Kim

    (Johns Hopkins University Medical Campus)

  • Maya Deyssenroth

    (Icahn School of Public Health at Mount Sinai)

  • Carmen J. Marsit

    (Rollins School of Public Health, Emory University)

  • Jia Chen

    (Icahn School of Public Health at Mount Sinai)

  • Ke Hao

    (Icahn School of Medicine at Mount Sinai)

  • Giovanna Punzi

    (Johns Hopkins University Medical Campus
    Johns Hopkins University School of Medicine)

  • Daniel R. Weinberger

    (Johns Hopkins University Medical Campus
    Johns Hopkins University School of Medicine
    Johns Hopkins School of Medicine
    Johns Hopkins School of Medicine)

Abstract

Our earlier work has shown that genomic risk for schizophrenia converges with early life complications in affecting risk for the disorder and sex-biased neurodevelopmental trajectories. Here, we identify specific genes and potential mechanisms that, in placenta, may mediate such outcomes. We performed TWAS in healthy term placentae (N = 147) to derive candidate placental causal genes that we confirmed with SMR; to search for placenta and schizophrenia-specific associations, we performed an analogous analysis in fetal brain (N = 166) and additional placenta TWAS for other disorders/traits. The analyses in the whole sample and stratifying by sex ultimately highlight 139 placenta and schizophrenia-specific risk genes, many being sex-biased; the candidate molecular mechanisms converge on the nutrient-sensing capabilities of placenta and trophoblast invasiveness. These genes also implicate the Coronavirus-pathogenesis pathway and showed increased expression in placentae from a small sample of SARS-CoV-2-positive pregnancies. Investigating placental risk genes for schizophrenia and candidate mechanisms may lead to opportunities for prevention that would not be suggested by study of the brain alone.

Suggested Citation

  • Gianluca Ursini & Pasquale Di Carlo & Sreya Mukherjee & Qiang Chen & Shizhong Han & Jiyoung Kim & Maya Deyssenroth & Carmen J. Marsit & Jia Chen & Ke Hao & Giovanna Punzi & Daniel R. Weinberger, 2023. "Prioritization of potential causative genes for schizophrenia in placenta," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38140-1
    DOI: 10.1038/s41467-023-38140-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38140-1
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-38140-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Xiaoquan Wen & Roger Pique-Regi & Francesca Luca, 2017. "Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization," PLOS Genetics, Public Library of Science, vol. 13(3), pages 1-25, March.
    2. Zhang Bin & Horvath Steve, 2005. "A General Framework for Weighted Gene Co-Expression Network Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-45, August.
    3. Mira N. Moufarrej & Sevahn K. Vorperian & Ronald J. Wong & Ana A. Campos & Cecele C. Quaintance & Rene V. Sit & Michelle Tan & Angela M. Detweiler & Honey Mekonen & Norma F. Neff & Courtney Baruch-Gra, 2022. "Early prediction of preeclampsia in pregnancy with cell-free RNA," Nature, Nature, vol. 602(7898), pages 689-694, February.
    4. Angli Xue & Yang Wu & Zhihong Zhu & Futao Zhang & Kathryn E. Kemper & Zhili Zheng & Loic Yengo & Luke R. Lloyd-Jones & Julia Sidorenko & Yeda Wu & Allan F. McRae & Peter M. Visscher & Jian Zeng & Jian, 2018. "Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
    5. Sukanta Saha & David Chant & Joy Welham & John McGrath, 2005. "A Systematic Review of the Prevalence of Schizophrenia," PLOS Medicine, Public Library of Science, vol. 2(5), pages 1-1, May.
    6. Yang Wu & Jian Zeng & Futao Zhang & Zhihong Zhu & Ting Qi & Zhili Zheng & Luke R. Lloyd-Jones & Riccardo E. Marioni & Nicholas G. Martin & Grant W. Montgomery & Ian J. Deary & Naomi R. Wray & Peter M., 2018. "Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
    7. Bridget M. Nugent & Carly M. O’Donnell & C. Neill Epperson & Tracy L. Bale, 2018. "Placental H3K27me3 establishes female resilience to prenatal insults," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    8. Shouneng Peng & Maya A Deyssenroth & Antonio F Di Narzo & Haoxiang Cheng & Zhongyang Zhang & Luca Lambertini & Arno Ruusalepp & Jason C Kovacic & Johan L M Bjorkegren & Carmen J Marsit & Jia Chen & Ke, 2018. "Genetic regulation of the placental transcriptome underlies birth weight and risk of childhood obesity," PLOS Genetics, Public Library of Science, vol. 14(12), pages 1-15, December.
    9. Roser Vento-Tormo & Mirjana Efremova & Rachel A. Botting & Margherita Y. Turco & Miquel Vento-Tormo & Kerstin B. Meyer & Jong-Eun Park & Emily Stephenson & Krzysztof Polański & Angela Goncalves & Lucy, 2018. "Single-cell reconstruction of the early maternal–fetal interface in humans," Nature, Nature, vol. 563(7731), pages 347-353, November.
    10. Aswin Sekar & Allison R. Bialas & Heather de Rivera & Avery Davis & Timothy R. Hammond & Nolan Kamitaki & Katherine Tooley & Jessy Presumey & Matthew Baum & Vanessa Van Doren & Giulio Genovese & Samue, 2016. "Schizophrenia risk from complex variation of complement component 4," Nature, Nature, vol. 530(7589), pages 177-183, February.
    11. Vassily Trubetskoy & Antonio F. Pardiñas & Ting Qi & Georgia Panagiotaropoulou & Swapnil Awasthi & Tim B. Bigdeli & Julien Bryois & Chia-Yen Chen & Charlotte A. Dennison & Lynsey S. Hall & Max Lam & K, 2022. "Mapping genomic loci implicates genes and synaptic biology in schizophrenia," Nature, Nature, vol. 604(7906), pages 502-508, April.
    12. Arjun Bhattacharya & Anastasia N. Freedman & Vennela Avula & Rebeca Harris & Weifang Liu & Calvin Pan & Aldons J. Lusis & Robert M. Joseph & Lisa Smeester & Hadley J. Hartwell & Karl C. K. Kuban & Car, 2022. "Placental genomics mediates genetic associations with complex health traits and disease," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    13. Helian Feng & Nicholas Mancuso & Alexander Gusev & Arunabha Majumdar & Megan Major & Bogdan Pasaniuc & Peter Kraft, 2021. "Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies," PLOS Genetics, Public Library of Science, vol. 17(4), pages 1-21, April.
    14. Lorna A. Farrelly & Shuangping Zheng & Nadine Schrode & Aaron Topol & Natarajan V. Bhanu & Ryan M. Bastle & Aarthi Ramakrishnan & Jennifer C Chan & Bulent Cetin & Erin Flaherty & Li Shen & Kelly Gleas, 2022. "Chromatin profiling in human neurons reveals aberrant roles for histone acetylation and BET family proteins in schizophrenia," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kate E. Stanley & Tatjana Jatsenko & Stefania Tuveri & Dhanya Sudhakaran & Lore Lannoo & Kristel Calsteren & Marie Borre & Ilse Parijs & Leen Coillie & Kris Bogaert & Rodrigo Almeida Toledo & Liesbeth, 2024. "Cell type signatures in cell-free DNA fragmentation profiles reveal disease biology," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Zhen Qiao & Julia Sidorenko & Joana A. Revez & Angli Xue & Xueling Lu & Katri Pärna & Harold Snieder & Peter M. Visscher & Naomi R. Wray & Loic Yengo, 2023. "Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Kynon J. M. Benjamin & Ria Arora & Arthur S. Feltrin & Geo Pertea & Hunter H. Giles & Joshua M. Stolz & Laura D’Ignazio & Leonardo Collado-Torres & Joo Heon Shin & William S. Ulrich & Thomas M. Hyde &, 2024. "Sex affects transcriptional associations with schizophrenia across the dorsolateral prefrontal cortex, hippocampus, and caudate nucleus," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    4. Jayshree Advani & Puja A. Mehta & Andrew R. Hamel & Sudeep Mehrotra & Christina Kiel & Tobias Strunz & Ximena Corso-Díaz & Madeline Kwicklis & Freekje Asten & Rinki Ratnapriya & Emily Y. Chew & Dena G, 2024. "QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    5. Fengzhe Xu & Evan Yi-Wen Yu & Xue Cai & Liang Yue & Li-peng Jing & Xinxiu Liang & Yuanqing Fu & Zelei Miao & Min Yang & Menglei Shuai & Wanglong Gou & Congmei Xiao & Zhangzhi Xue & Yuting Xie & Sainan, 2023. "Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    6. Eric Buren & David Azzara & Javier Rangel-Moreno & Maria de la Luz Garcia-Hernandez & Shawn P. Murphy & Ethan D. Cohen & Ethan Lewis & Xihong Lin & Hae-Ryung Park, 2024. "Single-cell RNA sequencing reveals placental response under environmental stress," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    7. Yixuan Qiu & Jing Lei & Kathryn Roeder, 2023. "Gradient-based sparse principal component analysis with extensions to online learning," Biometrika, Biometrika Trust, vol. 110(2), pages 339-360.
    8. Ruiz Vargas, E. & Mitchell, D.G.V. & Greening, S.G. & Wahl, L.M., 2014. "Topology of whole-brain functional MRI networks: Improving the truncated scale-free model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 151-158.
    9. Chen Dong & Shuhua Fu & Rowan M. Karvas & Brian Chew & Laura A. Fischer & Xiaoyun Xing & Jessica K. Harrison & Pooja Popli & Ramakrishna Kommagani & Ting Wang & Bo Zhang & Thorold W. Theunissen, 2022. "A genome-wide CRISPR-Cas9 knockout screen identifies essential and growth-restricting genes in human trophoblast stem cells," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    10. Emma Facer-Irwin & Nigel J Blackwood & Annie Bird & Hannah Dickson & Daniel McGlade & Filipa Alves-Costa & Deirdre MacManus, 2019. "PTSD in prison settings: A systematic review and meta-analysis of comorbid mental disorders and problematic behaviours," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-28, September.
    11. Yan Guo & Hui Yu & Haocan Song & Jiapeng He & Olufunmilola Oyebamiji & Huining Kang & Jie Ping & Scott Ness & Yu Shyr & Fei Ye, 2021. "MetaGSCA: A tool for meta-analysis of gene set differential coexpression," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-15, May.
    12. Lichun Ma & Sophia Heinrich & Limin Wang & Friederike L. Keggenhoff & Subreen Khatib & Marshonna Forgues & Michael Kelly & Stephen M. Hewitt & Areeba Saif & Jonathan M. Hernandez & Donna Mabry & Roman, 2022. "Multiregional single-cell dissection of tumor and immune cells reveals stable lock-and-key features in liver cancer," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    13. Xue Jiang & Han Zhang & Xiongwen Quan & Zhandong Liu & Yanbin Yin, 2017. "Disease-related gene module detection based on a multi-label propagation clustering algorithm," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-17, May.
    14. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    15. Matthew Tegtmeyer & Jatin Arora & Samira Asgari & Beth A. Cimini & Ajay Nadig & Emily Peirent & Dhara Liyanage & Gregory P. Way & Erin Weisbart & Aparna Nathan & Tiffany Amariuta & Kevin Eggan & Marzi, 2024. "High-dimensional phenotyping to define the genetic basis of cellular morphology," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    16. Samuel S. Kim & Buu Truong & Karthik Jagadeesh & Kushal K. Dey & Amber Z. Shen & Soumya Raychaudhuri & Manolis Kellis & Alkes L. Price, 2024. "Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    17. Peter Langfelder & Rui Luo & Michael C Oldham & Steve Horvath, 2011. "Is My Network Module Preserved and Reproducible?," PLOS Computational Biology, Public Library of Science, vol. 7(1), pages 1-29, January.
    18. Javier Rodríguez-Ubreva & Anna Arutyunyan & Marc Jan Bonder & Lucía Del Pino-Molina & Stephen J. Clark & Carlos de la Calle-Fabregat & Luz Garcia-Alonso & Louis-François Handfield & Laura Ciudad & Edu, 2022. "Single-cell Atlas of common variable immunodeficiency shows germinal center-associated epigenetic dysregulation in B-cell responses," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    19. Mijeong Kim & Yu Jin Jang & Muyoung Lee & Qingqing Guo & Albert J. Son & Nikita A. Kakkad & Abigail B. Roland & Bum-Kyu Lee & Jonghwan Kim, 2024. "The transcriptional regulatory network modulating human trophoblast stem cells to extravillous trophoblast differentiation," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    20. Fasil Tekola-Ayele & Xuehuo Zeng & Suvo Chatterjee & Marion Ouidir & Corina Lesseur & Ke Hao & Jia Chen & Markos Tesfaye & Carmen J. Marsit & Tsegaselassie Workalemahu & Ronald Wapner, 2022. "Placental multi-omics integration identifies candidate functional genes for birthweight," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38140-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.